Zobrazeno 1 - 10
of 12
pro vyhledávání: '"A. Adarsh Rai"'
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9789811633416
Advances in Intelligent Systems and Computing
Advances in Intelligent Systems and Computing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::904aba26f7acdb6cf24d80f946d66cb6
https://doi.org/10.1007/978-981-16-3342-3_21
https://doi.org/10.1007/978-981-16-3342-3_21
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9789811627118
The rapid growth of network technologies has complicated networking operations and network resource optimization. Software-Defined Network (SDN) overcomes the limitations of traditional networks by separating the forwarding layer and the control laye
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9c26933bce9063def774829248eb2627
https://doi.org/10.1007/978-981-16-2712-5_29
https://doi.org/10.1007/978-981-16-2712-5_29
Autor:
Adarsh Rai, Krishna Murari
Publikováno v:
Prabandhan: Indian Journal of Management. 13:30
Publikováno v:
Communications in Computer and Information Science ISBN: 9789811090585
In this study, an effort has been made to develop a hybrid optimization algorithm based on Particle Swarm Optimization (PSO), a widely used optimization technique and Bat Algorithm (BA) a newly introduced metaheuristic algorithm. The machining parame
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::94896b547b2832f1b544d0b6d0cf630d
https://doi.org/10.1007/978-981-10-9059-2_26
https://doi.org/10.1007/978-981-10-9059-2_26
Publikováno v:
Sadhana. 40:515-535
Dual fuel engines are being used these days to overcome shortage of fossil fuels and fulfill stringent exhaust gas emission regulations. They have several advantages over conventional diesel engines. In this context, this paper makes use of experimen
Publikováno v:
2016 Second International Conference on Cognitive Computing and Information Processing (CCIP).
In this paper an effort has been done in developing a fast and efficient Radial Basis Function (RBF) neural network model to predict the power output of a wind turbine. The performance of the RBF neural network has been improved by making use of a hy
Publikováno v:
IOP Conference Series: Materials Science and Engineering. 376:012023
Publikováno v:
2016 Second International Conference on Cognitive Computing & Information Processing (CCIP); 2016, p1-6, 6p
Publikováno v:
IOP Conference Series: Materials Science & Engineering; Jun2018, Vol. 376 Issue 1, p1-1, 1p
Conference
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